https://github.com/qpc1611094/FPL

Fuzzy Positive Learning (CVPR2023)
https://github.com/qpc1611094/FPL

Last synced: about 2 months ago
JSON representation

Fuzzy Positive Learning (CVPR2023)

• Host: GitHub
• URL: https://github.com/qpc1611094/FPL
• Owner: qpc1611094
• Created: 2023-03-17T09:15:23.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-07-25T09:00:58.000Z (5 months ago)
• Last Synced: 2024-08-02T12:21:59.562Z (5 months ago)
• Language: Python
• Size: 8.71 MB
• Stars: 14
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• Awesome-Semi-Supervised-Semantic-Segmentation - Code

README

        
# FPL

---

[Fuzzy Positive Learning for Semi-supervised Semantic Segmentation (CVPR2023)](https://arxiv.org/pdf/2210.08519.pdf).

by Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, [Jie Chen](https://aimia-pku.github.io)

1 School of Electronic and Computer Engineering, Peking University, 2 Peng Cheng Laboratory,

3 Department of Automation and BNRist, Tsinghua University

Our FPL is a plug-and-play method that can be applied on commonly used SSL methods. Here we provide the codes based on [CPS (CVPR2021)](https://github.com/charlesCXK/TorchSemiSeg) and [AEL (NIPS2021)](https://github.com/hzhupku/SemiSeg-AEL).

Many thanks for their great work.

![](framework_v8.jpg)

## Installation

Please refer to the [Installation](./doc/installation.md) document.

## Getting Started

Please refer to the [Getting Started](./doc/getting_started.md) document.

## Citation

Please consider citing this project in your publications if it helps your research.

```bibtex

@inproceedings{qiao2023fuzzy,

  title={Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation},

  author={Qiao, Pengchong and Wei, Zhidan and Wang, Yu and Wang, Zhennan and Song, Guoli and Xu, Fan and Ji, Xiangyang and Liu, Chang and Chen, Jie},

  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

  pages={15465--15474},

  year={2023}

}

```